Real-time triggering of a Functional Electrical Stimulation device using Electroencephalography - a hardware simulation study

Gorish Aggarwal 1
1 CAMIN - Control of Artificial Movement and Intuitive Neuroprosthesis
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Abstract -- A Brain Computer Interface (BCI) is a direct communication link between the brain and an external device. The EEG signal captured through this device can be used to stimulate the motor neurons through a Functional Electrical Stimulator, thus allowing the brain to control the muscles externally. This requires the processing of the EEG signal, to extract features corresponding to the task imaged by the brain. This report gives the description of the internship project undertaken to develop a mechanism such as above, which can collect EEG data, process the acquired data, extract relevant information and use that information to trigger an FES device for stimulating motor muscles. The developed system can be used to develop a low cost, clinically valid home-based tool to monitor post-stroke neuro-rehabilitation device for use both in rural and urban setting. Index Terms-- BCI, EEG, Emotiv EPOC, Feature Extraction, ERD, OpenViBe, Psychophysics Toolbox, FES, Phenix Liberty+ Console
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Submitted on : Monday, September 15, 2014 - 2:48:27 PM
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Gorish Aggarwal. Real-time triggering of a Functional Electrical Stimulation device using Electroencephalography - a hardware simulation study. [Research Report] Lirmm, University of Montpellier; Inria. 2014. ⟨hal-01064082⟩

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